onsite
Data Engineer AWS / Spark - Novon
Data Engineer
Mid‑level to senior Data Engineer to design, build and maintain scalable data pipelines on AWS using Spark, Python and SQL, ensuring high‑quality data models and robust ETL processes for enterprise clients.
About the role
Key Responsibilities
- Design, develop and maintain large‑scale data pipelines on AWS using Spark, Glue, and Lambda.
- Implement data ingestion, transformation, and enrichment workflows with Python and SQL.
- Build and optimize data models, ensuring performance and scalability across cloud environments.
- Collaborate with data scientists, analysts and stakeholders to translate business requirements into technical solutions.
- Monitor pipeline health, troubleshoot issues, and implement automated alerts and logging.
Requirements
- 3+ years of experience as a Data Engineer in a cloud environment.
- Experience with data modeling, ETL best practices, and performance tuning.
- Excellent problem‑solving skills and ability to work collaboratively in a hybrid setting.